We performed a comparison between Amazon EC2 and Apache Spark based on real PeerSpot user reviews.
Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is EC2 is scalable, so when you want to move to market, you don't need to wait until your provision is fast, you can just go and provision it and then easily install your application."
"The ability to bring up servers and then do the computation and deposit means we don't have to maintain a data center. Everything is virtual and the security is also taken care of. It helps us to achieve compliance. Being a small startup with the security features that AWS provides helps us with compliance."
"The ability to quickly spin up instances on demand with zero upfront costs or infrastructure is the most valuable for me."
"The amount of bandwidth has been most valuable."
"What we have found most valuable is that we have not lost stability in the program."
"The product is very mature and organized."
"The best features of Amazon EC2 are its high performance and security."
"EC2 is secure and stable, and we have no complaints about it on AWS."
"Apache Spark provides a very high-quality implementation of distributed data processing."
"The fault tolerant feature is provided."
"The product's deployment phase is easy."
"I appreciate everything about the solution, not just one or two specific features. The solution is highly stable. I rate it a perfect ten. The solution is highly scalable. I rate it a perfect ten. The initial setup was straightforward. I recommend using the solution. Overall, I rate the solution a perfect ten."
"This solution provides a clear and convenient syntax for our analytical tasks."
"With Spark, we parallelize our operations, efficiently accessing both historical and real-time data."
"The deployment of the product is easy."
"It is highly scalable, allowing you to efficiently work with extensive datasets that might be problematic to handle using traditional tools that are memory-constrained."
"We have had some downtime using the solution."
"Regional acceleration could improve. If I am hosting a website and I want the experience to be faster they should have this feature to allow for increased speeds."
"am concerned about the tool's data security."
"The IP changes whenever we restart which is frustrating."
"It is a little too expensive."
"This solution could be improved with better pricing. If you continue using this solution over a long period of time, your costs may accumulate."
"Pricing-wise, it is a bit high."
"I would like to see improvement in the information available up-front for users around tailoring the package to their actual requirements. At present it can take time to work with the on demand instance until you are used to what features are right for the user."
"It's not easy to install."
"At the initial stage, the product provides no container logs to check the activity."
"Needs to provide an internal schedule to schedule spark jobs with monitoring capability."
"The solution’s integration with other platforms should be improved."
"Apache Spark could potentially improve in terms of user-friendliness, particularly for individuals with a SQL background. While it's suitable for those with programming knowledge, making it more accessible to those without extensive programming skills could be beneficial."
"Include more machine learning algorithms and the ability to handle streaming of data versus micro batch processing."
"We've had problems using a Python process to try to access something in a large volume of data. It crashes if somebody gives me the wrong code because it cannot handle a large volume of data."
"Apache Spark's GUI and scalability could be improved."
Amazon EC2 is ranked 4th in Compute Service with 56 reviews while Apache Spark is ranked 5th in Compute Service with 60 reviews. Amazon EC2 is rated 8.6, while Apache Spark is rated 8.4. The top reviewer of Amazon EC2 writes "Easy to scale and valuable features include the security group and key management". On the other hand, the top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". Amazon EC2 is most compared with AWS Fargate, AWS Lambda, Apache NiFi, AWS Batch and Google App Engine, whereas Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Jakarta EE. See our Amazon EC2 vs. Apache Spark report.
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We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
